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The number of physical objects connected to the Internet constantly grows and a common thought says the IoT scenario will change the way we live and work. Since IoT technologies have the potential to be pervasive in almost every aspect of a human life, in this paper, we deeply analyze the IoT scenario. First, we describe IoT in simple terms and then we investigate what current technologies can achieve. Our analysis shows four major issues that may limit the use of IoT (i.e., interoperability, security, privacy, and business models) and it highlights possible solutions to solve these problems. Finally, we provide a simulation analysis that emphasizes issues and suggests practical research directions.

Web 2.0 is affecting the structure of our society

The highavailability of geolocation technologies is changing the social media mobile scenario and is exposing users to privacy risks. Different studies have focused on location privacy in the mobile scenario, but the results are conflicting: some say that users are concerned about location privacy, others say they are not. In this paper, we initially investigate attitudes and behaviors of people toward a location-aware scenario; then, we show users the amount of personal and sensitive data that can be extracted from contents publicly available in social platforms, and finally we ask for their opinions about a location-aware scenario. Results show that people who were not initially concerned about privacy are the most worried about the location-aware scenario; conversely, people who were initially concerned are less worried about the location-aware scenario and find the scenario interesting. A deeper analysis of the obtained results allows us to draw guidelines that might be helpful to build an effective location-aware scenario

No abstract

The availability of video files in the Internet is growing at an exceptional speed and in the near future video browsing will be a common activity. To facilitate such activity it will be necessary to have a small clip for any given video. Currently, video skimming and video summarization techniques can reduce the temporal representation of a given video. However, most of these techniques do not include audio in the produced summaries. Here, we propose a mechanism that, using audio and video analysis, produces video summaries coupled with intelligible audio. Experimental results show that the summaries are largely reduced (up to 50%) and that the perceived video quality may be comparable to the one of the original video (in term of jerkiness). Consumers satisfaction has been investigated through MOS and results show that our summaries can be considered as an alternative to the original videos.

No abstract

No abstract